... Analytical acumen to all business requirements Think out-of-box for business solution Skills:- SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Amazon Web Services (AWS), SQL Azure, PostgreSQL, Relational Database (RDBMS), NOSQL Databases, Oracle NoSQL Database, MongoDB, DynamoDB, JSON, XML and ETL
... Technically familiar with the stack to recommend infrastructure improvements Desirable Skills Experience with Plotly library structure (For pictorial presentation of the data) Experience with Databricks/Database and schema knowledge Soft Skills Solid communications skills Negotiation skills with the highly technical SMEs
... high-concurrency, real-time data - Mastery of specialized data quality tools (e.g., Great Expectations, Monte Carlo). - Proficiency with cloud platforms and data warehouses (e.g., AWS, Databricks, Snowflake). - Familiarity with A/B testing frameworks and the nuances of experimentation - Knowledge of global data privacy ...
... Expertise in Azure Data Factory for ETL pipeline development 4. In-depth knowledge of Azure Data Lake Storage Gen2 (ADLS Gen2) 5. Experience with CosmosDB for data modeling and integration 6. Strong skills in Python for data engineering tasks 7. Proficiency in Databricks and Stream Analytics 8. Experience with Event Hub ...
... you use today — prior Glean experience isn't required. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full ...
Summary :We are looking for an experienced Oracle DBA L3 with 7 -10 years of hands-on experience in Oracle Database Administration. The ideal candidate should have strong expertise in Oracle RAC installation, RAC architecture, Oracle Database 19c, backup & recovery, database patching, and security best practices. Experience ...
... Optimization, Wait Stats, and Dynamic Management Views (DMVs) - Generate and interpret Performance Baselines, Monitoring Dashboards, and Health Reports. - Support database-related requests such as user management, data refreshes, schema changes, and security audits. - Participate in AWR/ASH/Statspack analysis for Oracle environments ...
... and Product teams to build scalable, secure, and reliable database platforms for mission-critical workloads. 8-12 years of experience as a Database Engineer, Database Administrator, or Database Architect. - Strong hands-on expertise in PostgreSQL, and Amazon Aurora . - Strong experience in database schema design, data modeling, ...
... https://jobeax.com/link/D4GLjfywL6FEvFfU role is part of a client-facing cybersecurity/data protection function, where the selected professional will work closely with security teams, data owners, platform owners, and other stakeholders to implement and optimize enterprise-grade Netskope Data Loss Prevention (DLP) https://jobeax.com/link/ogW4mNXlWSCaUHh0 ...
Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...
Role Overview : We are looking for a hands-on Data Scientist with 3+ years of experience in Machine Learning and Deep Learning, along with practical exposure to modern LLM ecosystems. The ideal candidate has strong problem-solving and analytical skills who combines data modeling with engineering rigor and is comfortable ...
... deployment activities.- Develop and optimize SQL queries for data extraction, validation, reconciliation, analysis, and performance tuning.- Work with relational databases and ensure efficient handling of large volumes of data.- Perform unit testing, integration testing, data validation, and reconciliation of ETL and matching ...
... infrastructures and features that are reliable and scalable according to deployment requirements. - Independently identifies opportunities for and drives prototyping (e.g., testing new applications or infrastructures, assisting in onboarding). Incident and Service Lifecycle Management: - Performs data collection, triage, ...
... converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. ...
... passionate sales executive to join our sales team. The sales executive's responsibilities include generating leads, making sales calls, continuously updating our CRM database, and meeting sales targets. To be successful as a sales executive you should be an inspired self-starter and able to drive sales growth. Ultimately, a top-notch ...
... extraction, transformation, and loading of data from a wide variety of data sources using SQL Work with stakeholders, including the Executive, Product, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist ...
... and guidance to engineers.2. Hands-on Data Engineering : - Contribute directly to development of data pipelines and data workflows (~3050% hands-on).- Perform data analysis and SQL-based problem solving.- Design and optimize ETL/ELT pipelines.- Work with structured and enterprise data sources including SAP systems.- Support ...
... automation. Proficiency in Python: ~ Python for Automation and Integration: Demonstrated expertise in Python, particularly for automating database tasks and managing data integrations across systems. Database Administration: ~ Hands-On with Relational or NoSQL Databases: Practical experience with at least one database system, such ...
... opportunity This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of data science capabilities. It also applies advanced data mining techniques ...